Evidence map›Paper›PMID 42395446›Full record

ArticlebioRxiv : the preprint server for biology2026

Patient cerebral organoids capture Alzheimer's disease proteomic biomarkers and drug targets.

Shannon Thomson, Xinran C Li, Sophie Walker, Tiffany C Y Tang, Mark E Graham, Sam W Z Olechnowicz, Rory Bowden, Global Neurodegeneration Proteomics Consortium, Katherine A Waugh, Chad Slawson and 5 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Shannon ThomsonNeurodegeneration and Disease Modelling Lab, Westmead Institute for Medical Research, The University of Sydney, Westmead, New South Wales, Australia.
Xinran C LiNeurodegeneration and Disease Modelling Lab, Westmead Institute for Medical Research, The University of Sydney, Westmead, New South Wales, Australia.
Sophie WalkerNeurodegeneration and Disease Modelling Lab, Westmead Institute for Medical Research, The University of Sydney, Westmead, New South Wales, Australia.
Tiffany C Y TangNeurodegeneration and Disease Modelling Lab, Westmead Institute for Medical Research, The University of Sydney, Westmead, New South Wales, Australia.
Mark E GrahamBiomedical Proteomics, Children's Medical Research Institute, The University of Sydney, Westmead, New South Wales, Australia.
Sam W Z OlechnowiczAdvanced Technology and Biology Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia.
Rory BowdenAdvanced Technology and Biology Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia.ORCID 0000-0001-8596-0366
Global Neurodegeneration Proteomics Consortium
Katherine A WaughUniversity of Kansas Alzheimer's Disease Research Center, University of Kansas Medical Center, Kansas City, Kansas, USA.
Chad SlawsonUniversity of Kansas Alzheimer's Disease Research Center, University of Kansas Medical Center, Kansas City, Kansas, USA.
Jeffrey M BurnsUniversity of Kansas Alzheimer's Disease Research Center, University of Kansas Medical Center, Kansas City, Kansas, USA.
Russell H SwerdlowUniversity of Kansas Alzheimer's Disease Research Center, University of Kansas Medical Center, Kansas City, Kansas, USA.
Heather M WilkinsUniversity of Kansas Alzheimer's Disease Research Center, University of Kansas Medical Center, Kansas City, Kansas, USA.
Artur ShvetcovNeurodegeneration and Disease Modelling Lab, Westmead Institute for Medical Research, The University of Sydney, Westmead, New South Wales, Australia.
Caitlin A FinneyNeurodegeneration and Disease Modelling Lab, Westmead Institute for Medical Research, The University of Sydney, Westmead, New South Wales, Australia.ORCID 0000-0002-9357-8316

Funding

Integrative Network Biology Approaches to Identify, Characterize and Validate Molecular Subtypes in Alzheimer's DiseaseU01AG046170 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI WANG, MINGHUI, ZHANG, BIN · 2013 to 2022
$26.0M
University of Kansas Alzheimer's Disease Research Center (KU ADRC)P30AG072973 · NIA · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Mohammad Haeri · 2021 to 2026
$25.3M
Integrating the exposome and methylome to inform brain molecular changes in ADRD across established diverse cohorts.U01AG046139 · NIA · UNIVERSITY OF FLORIDA · PI ERTEKIN-TANER, NILUFER, PETERS, METTE · 2013 to 2022
$24.6M
Multi-omic network-directed proteoform discovery, dissection and functional validation to prioritize novel AD therapeutic targetsU01AG061356 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BENNETT, DAVID ALAN, DE JAGER, PHILIP L · 2018 to 2022
$13.7M
Understanding the molecular mechanisms that contribute to neuropsychiatric symptoms in Alzheimer DiseaseR01AG067025 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FINKBEINER, STEVEN M, HAROUTUNIAN, VAHRAM · 2019 to 2023
$11.8M
Metabolomic Signatures for Disease Sub-classification and Target Prioritization in AMP-ADU01AG061359 · NIA · DUKE UNIVERSITY · PI KADDURAH-DAOUK, RIMA F, KASTENMULLER, GABI · 2018 to 2022
$10.0M
Supplement to AMP-AD Brain Proteomic Network Enhancement, Validation and Translation into CSF BiomarkersU01AG061357 · NIA · EMORY UNIVERSITY · PI LEVEY, ALLAN I, SEYFRIED, NICHOLAS THOMAS · 2018 to 2022
$9.1M
NIA NIH HHS P30 AG072973NIA NIH HHS R01 AG067025NIA NIH HHS U01 AG046139NIA NIH HHS U01 AG046170NIA NIH HHS U01 AG061356NIA NIH HHS U01 AG061357NIA NIH HHS U01 AG061359
6 · The paper itself

Abstract

Patient iPSC-derived cerebral organoids are a leading human model of Alzheimer's disease, yet their proteome has never been benchmarked against human disease. Clinical cohorts now nominate thousands of biomarkers and drug targets across three proteomic platforms, and whether patient organoids capture these candidates is unknown. Here, we profile AD and control cerebral organoids containing neurons, astrocytes, and microglia on the three platforms driving clinical discovery, mass spectrometry, SomaScan, and Olink, in both conditioned media and lysate. Benchmarked against 121 studies and clinical cohorts of over 17,000 plasma, CSF, and cortex samples, patient organoids detect almost every nominated candidate and reproduce the disease-associated change in roughly one in four of the most reproducible. This convergence spans plasma, CSF, and cortex, and extends to synaptic, mitochondrial, and proteostatic biology. We provide the first multi-platform reference proteome of a patient-derived AD model, establishing it as a translationally relevant system for studying AD.

Identifiers

PMID42395446
PMCPMC13321088

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.